The Embedded Higher-order Agent (E-HoA) architecture presented in this paper addresses the growing need for context-aware ambient systems, such as autonomous vehicles. This multi-process architecture, to be embedded into the control loop of these vehicles, includes a Belief-Desire-Intention agent that can consistently assist the symbolic execution of intentions. It also performs the appropriate conversion of these intentions into real physical vehicle maneuvers based on ROS. The proposed architecture offers gradually 4 levels of reactivity, from arch-reflex to the deep modification of the previously built symbolic execution plan. The presented use-case, the daily delivery of a network of pharmacy offices by an autonomous vehicle taking into account contextual (spatio-temporal) traffic features, shows the efficiency and the modularity of the architecture, as well as the scalability of the reaction levels.
J.-M. Ilié, A.-C. Chaouche and F. Pêcheux. 2020. E-HoA: A Distributed Layered Architecture for Context-aware Autonomous Vehicles. In Proceedings of the 11th International Conference on Ambient Systems, Networks and Technologies (ANT'2020), Warsaw, Poland. Procedia Computer Science, 170 (April 2020), Elsevier, 530-538. DOI: https://doi.org/10.1016/j.procs.2020.03.121.
APA :
Ilié, J.-M., Chaouche, A.-C. & Pêcheux, F. (2020, April). E-HoA: A Distributed Layered Architecture for Context-aware Autonomous Vehicles. In Proceedings of the 11th International Conference on Ambient Systems, Networks and Technologies (ANT'2020), Warsaw, Poland. Procedia Computer Science, 170, Elsevier, 530-538. DOI: https://doi.org/10.1016/j.procs.2020.03.121
IEEE :
J.-M. Ilié, A.-C. Chaouche and F. Pêcheux, "E-HoA: A Distributed Layered Architecture for Context-aware Autonomous Vehicles". In Proceedings of the 11th International Conference on Ambient Systems, Networks and Technologies (ANT'2020), Warsaw, Poland. Procedia Computer Science, vol. 170, Elsevier, pp. 530-538, April, 2020. DOI: https://doi.org/10.1016/j.procs.2020.03.121.
BibTeX :
@inproceedings{misc-lab-260, author = {Ili\'{e}, Jean-Michel and Chaouche, Ahmed-Chawki and P\^{e}cheux, François}, title = {E-HoA: A Distributed Layered Architecture for Context-aware Autonomous Vehicles}, volume = {170}, booktitle = {11th International Conference on Ambient Systems, Networks and Technologies (ANT'2020)}, series = {Procedia Computer Science}, location = {Warsaw, Poland}, pages = {530--538}, publisher = {Elsevier}, year = {2020}, month = {April}, doi = {10.1016/j.procs.2020.03.121}, url = {http://www.sciencedirect.com/science/article/pii/S1877050920305597}, keywords = {Ambient systems, Autonomous vehicle, Embedded architecture, Context-awareness, Contextual planning, Reactive behavioral strategies} }
RIS :
TY - CONF TI - E-HoA: A Distributed Layered Architecture for Context-aware Autonomous Vehicles AU - J.-M. Ilié AU - A.-C. Chaouche AU - F. Pêcheux PY - 2020 VL - 170 BT - 11th International Conference on Ambient Systems, Networks and Technologies (ANT'2020), Warsaw, Poland SP - 530 EP - 538 PB - Elsevier AB - The Embedded Higher-order Agent (E-HoA) architecture presented in this paper addresses the growing need for context-aware ambient systems, such as autonomous vehicles. This multi-process architecture, to be embedded into the control loop of these vehicles, includes a Belief-Desire-Intention agent that can consistently assist the symbolic execution of intentions. It also performs the appropriate conversion of these intentions into real physical vehicle maneuvers based on ROS. The proposed architecture offers gradually 4 levels of reactivity, from arch-reflex to the deep modification of the previously built symbolic execution plan. The presented use-case, the daily delivery of a network of pharmacy offices by an autonomous vehicle taking into account contextual (spatio-temporal) traffic features, shows the efficiency and the modularity of the architecture, as well as the scalability of the reaction levels. KW - Ambient systems KW - Autonomous vehicle KW - Embedded architecture KW - Context-awareness KW - Contextual planning KW - Reactive behavioral strategies DO - 10.1016/j.procs.2020.03.121 UR - http://www.sciencedirect.com/science/article/pii/S1877050920305597 ID - misc-lab-260 ER -